# Re: st: ci question

 From Chris Witte To statalist@hsphsun2.harvard.edu Subject Re: st: ci question Date Fri, 11 Apr 2008 08:49:15 -0700 (PDT)

```thanks for the example Svend!
I was thinking of doing something like your code,

"replace race=race-0.03 if smoke==0
replace race=race+0.03 if smoke==1"

for offsetting the plots, and this code will take the error out of my "trial and error" approach to getting the appearance I want.  I'll make use of your xlabel code as well!

thanks again Nick, David, and Svend

Chris

----- Original Message ----
From: Svend Juul <SJ@SOCI.AU.DK>
To: statalist@hsphsun2.harvard.edu
Sent: Friday, April 11, 2008 7:33:50 AM
Subject: Re: st: ci question

Chris wrote:

I would like to know how to take the means and standard errors
calculated from the "ci" command, and plot the means with brackets
placed at plus/minus the standard error.

1) So, I first need to know how to get these estimates into a
dataset for use.

2) I found the "serrbar" command, which will do a basic plotting,
but what I'd really like is to have a way to group these estimates,
much like the way you can with "graph box" and the "over" option.
Is this possible?

and later:

... is there a way to horizontally offset the rcap plots within a
single x-axis value so that the rcaps do not overlap?

===================================================================

I find -statsby- most convenient to extract a condensed dataset
with the estimatess of interest. The example also demonstrates
a way to horisontally offset the rcaps:

webuse lbw.dta, clear
statsby mean=r(mean) se=r(se), by(race smoke) clear : ci bwt
generate ub = mean + se
generate lb = mean - se
replace race=race-0.03 if smoke==0
replace race=race+0.03 if smoke==1

twoway (rcap lb ub race)(scatter mean race) , ///
xlabel(1 "white" 2 "black" 3 "other")      ///
ytitle("Birthweight (grams)")              ///
legend(off)

Hope this helps
Svend
__________________________________________

Svend Juul
Institut for Folkesundhed, Afdeling for Epidemiologi
(Institute of Public Health, Department of Epidemiology)
Vennelyst Boulevard 6
DK-8000  Aarhus C, Denmark
Phone:  +45 8942 6090
Home:  +45 8693 7796
Email:  sj@soci.au.dk
__________________________________________

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```